Finite Math Examples

Find the Linear Correlation Coefficient table[[x,y],[-1,-3.49],[0,1.2],[1,0.88],[2,-4.5],[3,-12.9]]
xy-1-3.4901.210.882-4.53-12.9
Step 1
The linear correlation coefficient measures the relationship between the paired values in a sample.
r=n(xy)-xyn(x2)-(x)2n(y2)-(y)2
Step 2
Sum up the x values.
x=-1+0+1+2+3
Step 3
Simplify the expression.
x=5
Step 4
Sum up the y values.
y=-3.49+1.2+0.88-4.5-12.9
Step 5
Simplify the expression.
y=-18.81
Step 6
Sum up the values of xy.
xy=-1-3.49+01.2+10.88+2-4.5+3-12.9
Step 7
Simplify the expression.
xy=-43.329998
Step 8
Sum up the values of x2.
x2=(-1)2+(0)2+(1)2+(2)2+(3)2
Step 9
Simplify the expression.
x2=15
Step 10
Sum up the values of y2.
y2=(-3.49)2+(1.2)2+(0.88)2+(-4.5)2+(-12.9)2
Step 11
Simplify the expression.
y2=201.05449033
Step 12
Fill in the computed values.
r=5(-43.329998)-5-18.815(15)-(5)25(201.05449)-(-18.81)2
Step 13
Simplify the expression.
r=-0.67930184
 [x2  12  π  xdx ]